Title :
The detection of single hepatocytes within clusters in microscopic images
Author :
Gadkari, Manoj S. ; Refai, Hazem H. ; Sluss, James J., Jr. ; Broughan, Thomas A. ; Teague, T. Kent ; Naukam, R.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Tulsa, OK, USA
Abstract :
The paper presents a novel method to detect and count dead and live hepatocytes (liver cells) within clusters. The new method distinguishes single cells from clusters in digital microscopic images based on cell shape rather than size. The new method shows an improvement when compared to an earlier algorithm, especially in images where cells have varying sizes.
Keywords :
cellular biophysics; medical image processing; object detection; optical microscopy; cell shape; liver cells; microscope images; multicellular structures; single hepatocyte detection; Biomedical imaging; Cells (biology); Clustering algorithms; Educational institutions; Image segmentation; Microscopy; Shape; Surface morphology; Surgery; Suspensions;
Conference_Titel :
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN :
0-7803-8387-7
DOI :
10.1109/IAI.2004.1300972
